code: def __str__(self) -> str:
      trajectory_str = " ".join(
          [
              f"{id}: {perf:.5f}"
              for id, perf in enumerate(self.trajectory_)
          ]
      )
      identifiers_str = " ".join(
          [
              f"{identifier}"
              for idx, identifier in enumerate(self.identifiers_)
              if self.weights_[idx] > 0
          ]
      )
      return (
          "Ensemble Selection:\n"
          f"\tTrajectory: {trajectory_str}\n"
          f"\tMembers: {self.indices_}\n"
          f"\tWeights: {self.weights_}\n"
          f"\tIdentifiers: {identifiers_str}\n"
      )
  
imports: from __future__ import annotations
  from typing import Dict, List, Sequence, Tuple, Union
  import random
  import warnings
  from collections import Counter
  import numpy
  from sklearn.utils import check_random_state
  from autosklearn.automl_common.common.utils.backend import Backend
  from autosklearn.constants import TASK_TYPES
  from autosklearn.data.validation import SUPPORTED_FEAT_TYPES
  from autosklearn.ensemble_building.run import Run
  from autosklearn.ensembles.abstract_ensemble import AbstractEnsemble
  from autosklearn.metrics import Scorer, calculate_losses
  from autosklearn.pipeline.base import BasePipeline
label_desc: Use image node_id 9 for calling the EnsembleSelection obj's underlying member method code with example usage: obj.__str__() and returns: str, trajectory_str, str, self, str, self, str, identifiers_str, str